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staff engineer ml engineer

Graphcore

<div><h3 class="jobSectionHeader">About the job</h3>

Validate the ML stack that turns accelerator hardware into trusted AI performance.

This role sits where modern ML models meet Graphcore's software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.

Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.

You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.

This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
<h3 class="jobSectionHeader">
The team and culture</h3>

The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.

Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.

You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
<h3 class="jobSectionHeader">
What we're looking for</h3>
<ul><li>Strong experience in Machine Learning or ML-adjacent software engineering roles.</li><li>A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.</li><li>Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.</li><li>Strong Python skills for automation, experimentation, benchmarking and reporting.</li><li>Experience designing, running and analysing ML benchmarks or model experiments.</li><li>Confident debugging skills in Linux, with curiosity about model behaviour and system performance.</li></ul>
<h3 class="jobSectionHeader">
Benefits</h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
<h3 class="jobSectionHeader">
Join the Team at Graphcore</h3>

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to validate the systems behind next generation AI compute, we'd love to hear from you. Apply now to help build what comes next.</div>

Staff Engineer (ML Engineer)

CommonAI CIC

<div>
 CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
 
 
 We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
 
 
 
 The Opportunity
 
 
 
 We're seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.
 
 
 We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You'll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and implement end-to-end LLM training pipelines
 </li>
 <li>
 Source and, where appropriate, preprocess datasets for training and evaluation
 </li>
 <li>
 Fine-tune and optimise open weight models (LLMs, vision, or traditional ML)
 </li>
 <li>
 Build evaluation frameworks and define performance metrics
 </li>
 <li>
 Develop and maintain data pipelines and training workflows
 </li>
 <li>
 Analyse training pipelines and optimise them for latency, cost, and scalability
 </li>
 <li>
 Implement monitoring, logging, and feedback loops for continuous improvement
 </li>
 <li>
 Experiment with modern AI tooling and services to investigate how they can be leveraged
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs)
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 Model evaluation and validation
 </li>
 <li>
 Overfitting, bias/variance tradeoffs
 </li>
 <li>
 Data quality and feature engineering
 </li>
 <li>
 Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
 </li>
 <li>
 Experience building and maintaining ML pipelines in production
 </li>
 <li>
 Familiarity with GPU usage and optimisation
 </li>
 <li>
 Ability to debug and improve model performance systematically
 
 
 </li>
 </ul>
 We also value:
 
 
 <ul>
 <li>
 Knowledge of distributed training or large-scale data processing
 </li>
 <li>
 Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
 </li>
 <li>
 Background in applied research or publishing
 </li>
 <li>
 Familiarity with retrieval systems, embeddings, or ranking models
 
 
 </li>
 </ul>
 Ideally you will have a maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models.
 
 
 You may also have been working in industry in a large organisation or start-up with an emphasis on developing and deploying cutting edge machine learning.
 
 
 When applying, please include:
 
 
 <ul>
 <li>
 Links to relevant projects, papers, or GitHub repositories
 </li>
 <li>
 A brief description of a model/system you trained and deployed end-to-end
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A collaborative and supportive work environment
 </li>
 <li>
 The opportunity to have a high impact in a growing organisation
 </li>
 <li>
 Competitive salary package and pension
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 Networking opportunities with influential people from across the tech sector and academia
 </li>
 <li>
 A vibrant office environment located a few minutes' walk away from Cambridge train station
 
 
 </li>
 </ul>
 
 CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
 
</div>

Foundation Model Engineer

CuspAI

<div>
 
 About CuspAI
 
 
 
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 
 
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 
 
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 
 
 
 We&rsquo;re on the cusp of the on-demand materials era. Join us.
 
 
 
 
 The Role
 
 
 
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 
 
 
 Your Impact
 
 
 
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 
 orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 
 ,
 
 and driving experimental campaigns
 
 to find breakthrough materials faster than ever before.
 
 
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 
 
 
 What You Will Do
 
 
 
 
 Agentic systems
 
 
 
 <ul>
 <li>
 Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
 </li>
 <li>
 Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
 </li>
 <li>
 Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
 </li>
 <li>
 Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
 </li>
 <li>
 Create evaluations to measure the effectiveness of agents
 
 
 </li>
 </ul>
 
 Experimental design
 
 
 
 <ul>
 <li>
 Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
 </li>
 <li>
 Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
 </li>
 <li>
 Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
 
 
 </li>
 </ul>
 
 Interdisciplinary Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
 </li>
 <li>
 Work on customer projects and implement the direct needs required for these projects
 
 
 </li>
 </ul>
 
 Must Have Skills and Qualifications:
 
 
 
 <ul>
 <li>
 You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
 </li>
 <li>
 Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
 </li>
 <li>
 Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
 </li>
 <li>
 If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
 </li>
 <li>
 You have a proactive builder mentality with a bias toward shipping and iteration
 </li>
 <li>
 Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
 </li>
 <li>
 Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
 
 
 </li>
 </ul>
 
 Bonus Points (But Not Critical):
 
 
 
 <ul>
 <li>
 Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
 </li>
 <li>
 Experience with agentic frameworks and building LLM-powered applications
 </li>
 <li>
 Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
 </li>
 <li>
 Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
 
 
 </li>
 </ul>
 
 Additional Considerations
 
 
 
 This role could be based in our
 
 Cambridge, London, Amsterdam or Berlin offices
 
 , with the expectation of being
 
 in the office three days per week
 
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A competitive salary: We value and reward impact and growth
 </li>
 <li>
 Equity in CuspAI: You have a stake in the success of the company
 </li>
 <li>
 Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
 </li>
 <li>
 &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
 </li>
 <li>
 Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
 </li>
 <li>
 Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
 </li>
 <li>
 True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
 
 
 </li>
 </ul>
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 
 CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 
 
 
 We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
 
 
 
 
 Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
 
 
 
</div>

Applied AI/ML Engineer (Agents/RL)

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Software Engineer - Java to join our ever evolving WPG Engineering team and help shape the future of global commerce.
What you'll Own
You will join one of our cross-functional teams containing developers, testers, a product owner and a scrum master. The team works on features to maintain and add new capabilities to an ecommerce payments gateway operated by Worldpay.<ul><li>
With the support of the teams' principle engineer, you will pick-up challenging work from the plan that needs your proven software skills to deal with the more complex problems</li><li>
Develop changes in Java and SQL and PLSQL to an ecommerce payments gateway operated by Worldpay.</li><li>
Work with the team's Product Owner to specify the detailed behaviours of new capabilities of the payments gateway. You'll need to review payments-industry specification documents and translate how they apply for WorldPay's technologies and payments lifecycle processes.</li><li>
Partner with the team's test engineers to help scope the test coverage and approach, and you may need to contribute to writing automated component, integration and system tests.</li><li>
Support the deployment of new capabilities to production, ensuring they deliver value for our customers</li><li>
Participate in a release support rota, with occasional out-of-hours involvement</li><li>
Use generative AI tools as part of your workflow, supported by well-established internal tooling</li></ul>
What you'll bring<ul><li>
Solid experience with Java and SQL (PL/SQL desirable). Each career journey is different but likely you'll have a number of years' experience to reach a high level of a skill with these technologies.</li><li>
A track record of success to design and deliver solutions to complex business problems.</li><li>
Experience applying secure software development practices</li><li>
Experience with technologies used in distributed systems (e.g. IAM, digital certificates/PKI, observability, containerisation)</li><li>
Experience working in Linux-based development and production environments</li></ul>
Added bonus if you have:<ul><li>
Experience optimising performance for large-scale databases</li><li>
Experience in payments or financial services</li><li>
Experience working with SAST, SCA, CI tools</li><li>
Experience with Kafka</li></ul>
About the team
Make your mark at one of the biggest names in payments. We are looking for a Software Engineer - Java to join our Cambridge‑based delivery teams to work on one of the highest‑volume global payment platforms in the world.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and it&rsquo;s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
To find out more about working with us, find us on LinkedIn.
#LI-AB1</div>

Software Engineer - Java - Cambridge

Grundfos Pumps

<div></div><div><div>Are you a pragmatic SaaS engineer who thrives on building data pipelines that turn raw data into insights that prevent real-world infrastructure failures? Then join us in our mission to pioneer smarter solutions for moving and transforming water, reducing energy consumption, and enhancing quality of life for people. 
As our new Senior Product Development Engineer, you will be designing and developing cloud-based analytics framework components that process diverse data sources into actionable insights &mdash; from data import and cleansing through calculation pipelines to dashboards that predict critical events such as sewage overflows in pump and pipe systems. 
This role is located in our Cambridge office. 
What you will be doing
As a key part of the Analytics Platform Engineering team, you'll create impact by building the intelligent analytics framework that empowers utilities worldwide to prevent infrastructure failures before they happen, protecting communities and the environment. 
Your main responsibilities include: 
<ul><li>
Architect and develop framework components and calculation pipelines for our cloud-based analytics product (MAP platform)</li><li>
Implement data import, cleansing, and processing workflows that transform third-party and internal data into meaningful insights</li><li>
Resolve production bugs and work through the engineering backlog to improve platform reliability and performance</li><li>
Collaborate closely with your small scrum team to deliver iterative releases, incorporate customer feedback, and continuously improve the product</li><li>
Build and maintain predictive analytics features such as overflow alerts for sewage pumps and pipes</li><li>
Contribute architectural decisions that ensure the platform scales reliably in a real cloud environment</li></ul> 
What makes you a great fit 
Above all, you are a hands-on, pragmatic cloud software engineer with real-world experience shipping and maintaining production systems &mdash; someone who has been through release cycles, handled upgrades, responded to customer feedback, and knows what it takes to get the job done. 
We would also imagine that you have: 
<ul><li>
5+ years of experience in software product development with cloud-based systems (design, build, deploy, and maintain)</li><li>
Strong skills in building data processing pipelines &mdash; including data import, transformation, cleansing, and calculation workflows</li><li>
Demonstrated experience with architectural design of scalable framework components in a production environment</li><li>
Proven ability to work autonomously in small agile/scrum teams and deliver iterative releases</li></ul> 
It is a plus if you also have 
<ul><li>
Experience with analytics or IoT platforms, particularly in utilities, water management, or industrial domains</li><li>
Familiarity with dashboard development and alert/notification systems</li><li>
Background working with third-party data integrations and building extensible framework products</li></ul> 
Why you will love working here 
We care! Day to day, you can look forward to: 
<ul><li>
A working environment built around your needs, with flexible hours, home working opportunities and parental support.</li><li>
Annual bonuses, health insurance and a strong focus on well-being activities.</li><li>
Three days' additional paid leave for volunteering in your community.</li></ul> 
We are inclusive! Celebrating and valuing our differences helps us see possibilities where others can't. 
Are you ready to unlock possibilities at Grundfos? Apply today!
To get to know us better, follow us on LinkedIn or visit grundfos.com</div></div>

Senior Product Development Engineer

Ipsos

<div>Junior Software Engineer &ndash; Audience Measurement
Make Your Mark at Ipsos
Ipsos is recruiting for a Junior Software Engineer. Ideally you will have a background and interest in audio technology, digital signal processing, someone familiar with common signal processing techniques and experience of real-world audio processing issues.
This role sits in Ipsos&rsquo; CrossMedia &ndash; Audience Measurement team working on providing accurate measurement of Media consumption and advertising. Central to this is our audio recognition technology, which is under continuous development and optimisation.
What is in it for you?
This is a fantastic opportunity to grow your skills under the supervision of experienced professionals, supporting a technology deployed in multiple countries.
As a Junior Software Engineer, you will help develop and maintain Ipsos&rsquo;s audio recognition technology. You will help to assess and improve the performance of our patented audio recognition algorithms, and to adapt and optimise them for new scenarios.
The Role:
<ul><li>Exploring and assessing potential enhancements to our audio recognition technology.
</li><li>Diagnosing real-world limitations, and devising potential work-arounds.
</li><li>Exploring new solutions to upcoming product goals.
</li><li>Collaborating with cross-functional teams to develop, test and deliver solutions that meet client requirements.
</li><li>Collaborate with the team in regular design reviews, sharing your insights and learning from experienced scientists to develop and maintain innovative solutions.
</li><li>Researching and learning new technologies and techniques to stay up-to-date with industry trends.
</li>Participating in brainstorming sessions to elicit innovative ideas and solutions. 
<li>
</li></ul>About you:
The successful candidate will bring:
<ul><li>Proficiency in at least one relevant programming language (ideally C/C++, Matlab or Python)
</li><li>A good technical degree (or higher) in Physics, Maths, Engineering or Computer Science.
</li><li>Familiarity with common signal processing techniques.
</li><li>Experience of real-world audio processing issues
</li><li>Experience of writing deployable and maintainable software.
</li><li>Knowledge of issue/project tracking software, e.g. Jira.
</li><li>A strong interest in algorithms and a desire to continually improve those algorithms.
</li><li>The curiosity and determination to understand technical systems from first principles.
</li><li>Exemplary communications skills - an ability to produce clear, informative documentation.
</li><li>An enthusiastic attitude with a &lsquo;gets things done&rsquo; mentality.
</li><li>The ability to communicate effectively with technical and non-technical colleagues.
</li><li>Excellent problem-solving skills, including diagnosing issues within complex systems.
</li><li>The willingness to rapidly pick up new technologies.
</li>The ability to adapt schedules against changing priorities. 
<li>
</li></ul>Benefits:
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health &amp; wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.</div>

Junior Software Engineer - AUM

<div><h3 class="jobSectionHeader">About the job</h3>

Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems.

This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute.
<h3 class="jobSectionHeader">
The team and culture</h3>

The ML QA team sits where Graphcore's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking.

Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns.

Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly.
<h3 class="jobSectionHeader">
What we're looking for</h3>
<ul><li>Strong software design skills, with experience building maintainable systems across large codebases.</li><li>Production Python experience, including testable, reliable code used by other engineers.</li><li>Experience with CI/CD, automated testing and Linux based development workflows.</li><li>Familiarity with C or C++, with confidence reading and debugging low level code.</li><li>Understanding of ML frameworks, workloads or model execution beyond simple API usage.</li><li>Ability to mentor engineers, improve practices and take ownership of complex technical problems.</li></ul>
<h3 class="jobSectionHeader">
Benefits</h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
<h3 class="jobSectionHeader">
Join the team at Graphcore</h3> 

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to shape how complex ML software is tested, trusted and improved, we'd love to hear from you. Apply now to be part of the journey.</div>

Senior Software Engineer (ML QA)

Explore 29+ Staff engineer ml engineer in Cambridge this July. Find roles across top companies and apply now to boost your career.